Bedrock GenAI Solutions Architect for Enterprise Scale

Amazon Web Services (AWS)

Dallas (TX)

On-site

USD 183,000 - 247,000

Full time

19 hours ago
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Job summary

Amazon Web Services, Inc. in Dallas is seeking a Senior GenAI Solutions Architect to help customers build and deploy GenAI-enabled applications using Amazon Bedrock and related AWS services.

You will influence product direction, develop architectural blueprints, whitepapers and code samples, and evangelize AWS GenAI services through blogs and public events.

This role has a global remit and focuses on trustworthy AI, cost efficiency, security, and scalable enterprise GenAI across customers.

Qualifications

  • 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
  • Experience communicating across technical and non-technical audiences and at C-level, including trainings, workshops, publications.
  • Bachelor’s degree in computer science, engineering, mathematics or equivalent.

Responsibilities

  • Customer Advisor — implement and deploy state of the art machine learning algorithms under Gen AI; build prototypes and PoCs.
  • Thought Leadership — evangelize AWS GenAI services and share best practices via blogs, whitepapers, reference architectures, and public speaking events.
  • Partner with SAs, Sales, BD and AI/ML service teams to accelerate customer adoption and guidance on engagements.
  • Develop and support an AWS internal community of ML experts; create field enablement materials for the broader SA population.

Skills

10+ years experience
C-level communication
Cloud computing

Education

Bachelor's degree in CS/engineering/math

Job description

Amazon Web Services, Inc. in Dallas is seeking a Senior GenAI Solutions Architect to help customers build and deploy GenAI-enabled applications using Amazon Bedrock and related AWS services.

You will influence product direction, develop architectural blueprints, whitepapers and code samples, and evangelize AWS GenAI services through blogs and public events.

This role has a global remit and focuses on trustworthy AI, cost efficiency, security, and scalable enterprise GenAI across customers.

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